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| Foreword | ||
| Introduction | ||
| 1 | Historical aspects of leukaemia clusters | 1 |
| 2 | The simulated data-sets | 21 |
| 3 | Analysing the spatial distribution of disease using a method of constructing geographical areas of approximately equal population size | 28 |
| 4 | Testing for over-dispersion using an adapted form of the Potthoff-Whittinghill method | 40 |
| 5 | Clustering methods based on k nearest neighbour distributions | 55 |
| 6 | Using a geographical analysis machine to detect the presence of spatial clustering and the location of clusters in synthetic data | 68 |
| 7 | The detection of small-area database anomalies | 88 |
| 8 | Detailed results for selected data-sets | 101 |
| 9 | Overview of results | 140 |
| 10 | Editorial comments | 155 |
| 11 | Responses by individual authors to editorial comments | 160 |
| App. 1 | The data-sets | 165 |
| App. 2 | Extension of the ISD method | 186 |
| App. 3 | Cuzick-Edwards one-sample and inverse two-sampling statistics | 200 |
| App. 4 | Tests of clustering based on pattern-recognition procedures | 203 |
| App. 5 | Second-order analysis of spatial clustering | 207 |
| App. 6 | A scan statistic for detecting spatial clusters | 215 |
| App. 7 | The CAS method | 219 |
| App. 8 | Geostatistics for determining the risk of rare disease | 228 |
| References | 236 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Skyler Egert
reviewed Methods for Investigating Localized Clustering of Disease on January 05, 2008 Methods for Investigating Localized Clustering of Disease
I read this book over the course of an entire semester of college, as it was assigned for my Ecology, Evolution & Society Biology class. That being said, I am sad to see it come to an end as this semester winds to a close as well. I had begun to look forward to the new piece of evidence or explanation for natural selection that Carroll provided with each new chapter. He presents a myriad of examples in very simplified way, so as to provide readers with an easier and more comprehensive way of understanding the mechanisms of evolution. He does so by utilizing the newest way in which scientists have begun to understand evolution and shared ancestry: through DNA.
With each chapter, Carroll clearly explains the inner-workings of evolution, and presents new and interesting findings and statistics that you might have never heard of before. Upon finishing this book, you will have a new wealth of knowledge regarding the ways in which species interact with one another to foster the grand ecosystem that is the tree of life. Every organism, even the most seemingly insignificant ones, have a purpose in the world, for each organism is but a puzzle piece within the constantly changing web or organisms. The fittest is a conditional phase, and no organism is guaranteed to be at the top of the hierarchy forever. Thus, we are all in an evolutionary arm's race of sorts--I think our status as animals sharing this earth among many others who must run just as fast as us to keep up with nature, is quite beautiful, if you think about it.
I recommend this book for anyone who is interested in biology, evolution, Darwinism, etc. Those who are beginners in biology/people who lack a sufficient scientific background will be pleased to find that Carroll makes this understandable and interesting for the average Joe.
10/10
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Add Methods for Investigating Localized Clustering of Disease, Since the beginning of this century, clusters of certain forms of cancer—particularly leukemia in children and Hodgkin's disease—have been reported around locations of specific environmental hazards. Identification of such clusters is not an easy task, , Methods for Investigating Localized Clustering of Disease to the inventory that you are selling on WonderClubX
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Add Methods for Investigating Localized Clustering of Disease, Since the beginning of this century, clusters of certain forms of cancer—particularly leukemia in children and Hodgkin's disease—have been reported around locations of specific environmental hazards. Identification of such clusters is not an easy task, , Methods for Investigating Localized Clustering of Disease to your collection on WonderClub |